8. Super Writing As the name suggest its "Super" in writing. It can generate content in many languages and search engine optimized blogs too. Try this out. Link: https://
chatgpt.com/g/g-PfRVnCUcU-
chao-ji-xie-zuo-super-writing
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LLMS
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New AI Writing Assistant Tool Released on ChatGPT
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Using GPT-based video summarizers for efficient podcast consumption
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7. summarizer Joe Rogan and other podcasts are amazing. Full of knowledge. But you don't have that much time to watch 3 hours videos. Use this GPT to summarize them. Link: https://
chatgpt.com/g/g-4MDJvo2TJ-
video-summarizer
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Using ChatGPT for personalized tutoring with Khan Academy’s GPT
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4. Tutor me by Khan Academy
— God of Prompt (@godofprompt) 5 août 2024
Want to learn ANY subject with ChatGPT?
Use Tutor Me GPT.
Link: https://t.co/2HDFjNfn9l pic.twitter.com/eqBTBhR8734. Tutor me by Khan Academy Want to learn ANY subject with ChatGPT? Use Tutor Me GPT. Link: https://
chatgpt.com/g/g-hRCqiqVlM-
tutor-me
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AI-Powered Jupyter Notebook for Code Generation and Data Analysis
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GitHub – squaredtechnologies/thread: AI-powered Jupyter Notebook — use local AI to generate and edit code cells, automatically fix errors, and chat with your data https://
bit.ly/461NV3R #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Claude Now Supports Pydantic Plugin Integration
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Many thanks to Tom Pollak, Claudette (the great friend of @AnthropicAI Claude) now supports @pydantic too, thanks to this new plugin!
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Grok AI Easter Egg Discovered in Standalone Version
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Lol, Grok has an easter egg if you prompt it with a "wen agi" on its standalone version (doesn't work on X Grok). "Reject humanity return to monke"
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Llama 3.1 Powers Real-Time Applications via Groq API
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Using the Groq API highlights the potential of Llama 3.1 in applications requiring rapid processing and real-time interaction, such as customer service and creative design.
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The Art of Refusal: LLM Refusal Methods and Evaluation Benchmarks
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10/ The Art of Refusal – a survey of the current methods used to achieve refusal in LLMs; provides evaluation benchmarks and metrics used to measure abstention in LLMs.
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ThinK: Query-Dependent KV Cache Pruning for Efficiency
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9/ ThinK – proposes an approach to address inefficiencies in KV cache memory consumption; it focuses on the long-context scenarios and the inference side of things; it presents a query-dependent KV cache pruning method to minimize attention weight loss while selectively pruning